Relationship between power and selected variables in the vertical jump by David A. Barlow

Cover of: Relationship between power and selected variables in the vertical jump | David A. Barlow

Published by College of Health, Physical Education and Recreation, University of Oregon in Eugene, Or .

Written in English

Read online

Edition Notes

Thesis, MSc, Pennsylvania State University, Department of Physical Education, 1970.

Book details

ContributionsUniversity of Oregon. College of Health,Physical Education and Recreation.
The Physical Object
Pagination1 microfiche
ID Numbers
Open LibraryOL14459145M

Download Relationship between power and selected variables in the vertical jump

The Relationship Between Vertical Jump Power Estimates and Weightlifting Ability: A Field-Test Approach among selected perfor-mance variables for. Get this from a library. Relationship between power and selected variables in the vertical jump. [David Alan Barlow]. Relationship of Force Variables to Vertical Jumps Performance by Hugo A.

de P. Santana The isometric mid-thigh pull (IMTP) has been cited often in the scientific literature; Correlations between Squat Jump Performance variables and Isometric Mid-Author: de Paula Santana, Hugo A.

Power variables obtained in the loaded vertical jump with 20kg and full squat exercise with 70kg showed significant relationships with all split times (r=/; p≤ /). Correlations were performed between the mean Relationship between power and selected variables in the vertical jump book each box drop jump height and the following independent variables: leg length, vertical jump, concentric peak torque, concentric work per repetition, eccentric peak torque, and eccentric work per repetition.

– indicates a fair degree of relationship, – indicates moderate to. Relationship between selected strength and power assessments to peak and average velocity of the drive block in offensive line play.

J Strength Cond Res 30(8):Typical strength training for football includes the squat and power clean (PC) and routinely measured variables include 1 repetition maximum (1RM) squat and 1RM PC along. were tested on four performance variables (yd sprint, shuttle run [], vertical jump, and 1RM back squat) and two core field tests (front abdominal power throw [FAPT] and side abdominal power throw [SAPT]).

Results demonstrated significant moderate correlations between the FAPT and 1RM back squat (r) and relative back squat (r). Aragon-Vargas & Gross () examined body height relative to vertical jump performance and found no significant relationship between the two variables.

While several studies have examined factors that influence vertical jump performance, many questions remain unanswered. SJ: Squat jump; CMJ: Countermovement jump; VJP: Vertical jump Performance.

The analysis of the results demonstrated the existence of a significant relationship (pbetween anthropometric parameters and the two types of VJ. Indeed, the R square was of for SJ, and for CMJ.

The main anthropometric characteristic. The jump-reach test and standing broad jump were investigated as tests of muscle power. The criterion used was the power lever.

An analysis of the variance components of the two jump tests revealed that each test involved a large proportion of specific variance.

Of the common factor variance muscle power appeared to be only one component. Finally it is of interest to note why the current study performance variables predicted far more vertical jump power, as compared to jump height, variance. Differences in amount of variance explained by the current study criterion measures is unusual given the high correlations (r = –) between jump power and height seen previously.

Furthermore, the relationships between these unloaded vertical exercises and m velocity were the weakest (R 2 = for both jump types) among all the parameters analyzed in this study, again supporting the original concepts proposed by the force-vector theory [13,16]. Lastly, it should be emphasized that jump heights are measures able to.

The first study compared the effects of strength training (ST) and power training (PT) scripts on neuromuscular adaptation and alterations in vertical jump performance, as well as kinetic and kinematic factors (study of motion and the description of motion, respectively).

The subjects were forty physically active men (average height: 5’”, weight: pounds, and age: years). Use to display the relationship between two continuous variables.

Continuous variables have blue triangles. Scatterplots – Two Variables 1. ®From an open JMP data table, select Analyze > Fit Y by X. Click on a continuous response (or dependent) variable in Select Columns, and Click Y, Columns.

variable jump height; however, there exist a large number of variables used in characterizing vertical jump performance, especially when measured using a force platform (Linthorne, ).

Of the extant literature examining vertical jump, instantaneous kinetic and kinematic variables such as the peak vertical ground reaction force and peak power.

1. Barlow DA: Relation between power and selected variables in the vertical jump. I: Cooper, JM (ed). Biomechanics: Selected Topics on Biomechanics, Proceedings of the C.I.C.

Symposium on Biomechanics, pp. Chicago: Athletic lnstitute of Chicago, 2. Campbell DE: Generation of horsepower at low and high velocity. This study investigated the relationship between the vertical jump (VJ), peak anaerobic power measured in watts (PAPw), power-to-body mass ratio (P:BM), standing broad jump (SBJ), and relative SBJ, with BD velocity in LEO recruits.

Retrospective analysis of data from 94 (male=71, female=23) recruits from one law enforcement agency were used. Background: A high level of strength is inherent in elite soccer play, but the relation between maximal strength and sprint and jumping performance has not been studied thoroughly.

Objective: To determine whether maximal strength correlates with sprint and vertical jump height in elite male soccer players. Methods: Seventeen international male soccer players (mean (SD) age () years. regression analysis was conducted to determine the relationship between the eight predictor variables and drop vertical jump height.

Knee extension concentric PT/body weight ratio was the most significant predictor of drop vertical jump height, accounting for 23% of-the variance. This. The relationships between vertical jump performance and bone variables may be influenced by the weight status of the studied population.

However, a more recent study has shown that vertical jump was the best predictor of TH and FN BMD in a. which showed significant positive correlation between average power (r =p > ) & peak power of vertical jump test and Wingate test (r =p > ), demonstrating the validity of the vertical jump as a field test of anaerobic power.

Conclusion: The result suggested that vertical jump tests may be. A single set of biomechanical variables cannot predict jump performance across various jumping tasks. J Stren Cond Res. ; [2] Fattah A, Amel M, Sadegh H, Mahmoodi B. Relationship between anthropometric parameters with vertical jump in male elite volleyball players due to game's position.

J Hum Sport Exerc. ; 7: [3]. The purpose of this investigation was to determine the relationship between a ratio between vertical jump (VJ) power and standing long jump (SLJ) power and knee injury risk by using the functional power outputs with information generated from knee isokinet ic testing.

book you go and visit the site as there are plenty of free vertical jump related training articles for you to enjoy and read. Most of the training ideas found on the site are tried and tested methods, whilst others are more directed at advanced athletes looking for some fresh ideas to take their development to.

Vertical Jump Lab 2 PROCEDURE Go to one of the University computers and log on to the computer in the usual way. Open a web browser (Netscape or Internet Explorer) and go to the “Laboratory Items“ page on the Biomechanics of Sport and Exercise Blackboard al is a stand-alone application for analysing vertical jumping, and it has two associated data files, Countermovement.

The selected strength and power variables were vertical jump height (in squat jump and countermovement jump), mean propulsive power in the jump squat, bench press (BP), and bench throw, maximum isometric force in squat and BP, and rate of force development in the squat and BP.

The aim of this study was to examine the relationship between selected variables of lower extremities explosive power measured via countermovement jump (CMJ) and drop jump (DJ) and sprinting ability over and m dash.

Twelve national-level Slovenian sprinters were assigned to 2 groups: elite (n = 6) and subelite (n = 6). Aims: The purpose of this study is to identify the relationship between anthropometric variables and vertical jumping performances.

The jump height and the average of power were measured to establish reference values of vertical jumping parameters in Tunisian healthy adolescents aged 13–19 in both sexes. Subjects and methods: Five hundred and. Purpose: To compare the associations between optimum power loads and 1-repetition-maximum (1RM) values (assessed in half-squat and jump-squat exercises) and multiple performance measures in elite s: Sixty-one elite athletes (15 Olympians) from 4 different sports (track and field [sprinters and jumpers], rugby sevens, bobsled, and soccer) performed squat and countermovement jumps.

I will argue that it is necessary to distinguish between the so-called speed and power jumpers in training. This will be substantiated with the mechanics of the jump (with a specific focus on the power and speed variables) and the sub-categorisation of jumpers based on the application of speed and force in their jumps as well as their body types.

The countermovement jump test is often adopted to monitor lower-limb power of an individual. Despite several studies on the validity of this test, there is still a need to determine the minimal difference needed to be confident that a difference in power between two individuals is present or that a true change in the performance of an individual has occurred.

A brand is a name, term, design, symbol or any other feature that identifies one seller's good or service as distinct from those of other sellers.

Brands are used in business, marketing, and advertising for recognition and, importantly, to create and store value as brand equity for the object identified, to the benefit of the brand's customers, its owners and shareholders. Innumerable factors and circumstances affect a buyer's willingness or ability to buy a good.

Some of the common factors are: Good's own price: The basic demand relationship is between potential prices of a good and the quantities that would be purchased at those lly the relationship is negative meaning that an increase in price will induce a decrease in the quantity demanded.

In this study, a correlation between isokinetic testing of the knee and the vertical jump and single leg jump in collegiate division 1 football players was investigated. The medical records of 68 athletes were selected for this study. Correlations and two-tailed regressions were run.

Data was analyzed with raw numbers as well as allometrically scaled numbers. A study investigated the relationship between selected anthropometric variables and of numerous anaerobic power tests with measures obtained on an isokinetic dynamometer. Thirty-one male college students performed several anaerobic power tests, including: the vertical jump using the Lewis formula; the Margaria-Kalamen stair climb test; the Wingate maximun anaerobic capacity and peak power test.

Understanding the Vertical Jump. When the question of how to increase vertical jump comes it is worthwhile to understand what jumping is. In essence it is produced by the explosive power from the lower body which exerts itself on the ground.

By increasing this power we are able to jump. Steps to Increase Power Output and Vertical Jump Height Over the years at Force Barbell, we have developed a pretty solid consistency when increasing athletes’ vertical jump.

We have had athletes increase their vertical jump up to 6″ in 6 months, and up to 10″ in 2 years. If the scatter diagram shows no relationship between the variables, consider whether the data might be stratified.

If the diagram shows no relationship, consider whether the independent (x-axis) variable has been varied widely. Sometimes a relationship is not apparent because the data do not cover a wide enough range. Scatter Diagram Resources. Introduction into the Difference between the Countermovement and Non-Countermovement Jump words first paragraph into vertical jump and its relevancy to sport.

Then highlight the different type of jumps. Talk about how when countermovement jump when compared to squat jump will result in a higher vertical jump, when compared to a non-countermovement jump. At. We calculate the strength of the relationship between an independent variable and a dependent variable using linear regression.

The Regression Equation A regression line, or a line of best fit, can be drawn on a scatter plot and used to predict outcomes for the x and y variables.

From the second dropdown list, we select the “Books” column and select “CategoryId” as the column used to implement a one-to-many relationship between “Categories” and “Books” table.

Finally, you need to specify the type of relationship via the cardinality dropdown list, which in our case will be “One to Many”.Shows the relationship between two quantitative variables measured on the same individuals.

The values of one variable (explanatory variable) appear on the horizontal axis and the values of the other variable (response variable) appear on the vertical axis.

.However, the relationship between speed and jump distance decreases when the range of performances is reduced. At an elite level speed is regarded as a pre-requisite, the differentiating factor between The same variables were also Power (Vertical Jump Tests) Squat Jump (m) CMJ (m)

59692 views Friday, November 20, 2020